Direct answer: how to use the Fractals indicator
The Fractals indicator is used to mark potential local turning points—specific bar highs and lows that stand out compared with surrounding bars. In forex, you typically apply it to a price chart (such as candlesticks), then interpret the plotted “fractal” points as references for structure, while avoiding automatic conclusions about future price.
How it works: mechanics, inputs, and interpretation
A standard Fractals approach identifies a fractal high when the high of a bar is higher than the highs of a set number of bars on both its left and right. Similarly, a fractal low occurs when a bar’s low is lower than the lows of surrounding bars. The key material input is the lookback/look-ahead window size (often described as the number of bars used on each side). A larger window generally produces fewer, more “major” turning points; a smaller window produces more frequent points that may be noisier.
On many charting platforms, fractal points are drawn only after the required right-side bars have formed. That means the indicator can appear to lag (because it waits for confirmation). Also, because it depends on bars that continue to develop, you may see changes in historical plotted points when you switch timeframes, change data settings, or reload the chart—so treat past markers as context, not as guaranteed fixed facts.
In practice, “using Fractals” usually means:
- Identify where fractal highs/lows form relative to recent price action.
- Use those points to visualize local swings (for example, potential swing highs and swing lows).
- Combine with additional, separately defined chart context (trend direction, support/resistance zones, or other indicators you understand independently).
Example and independent checks (non-prescriptive)
To validate that the indicator is behaving as you expect, run simple checks on your own chart:
- Window verification: Change the fractal window size (if your platform allows). Confirm that the indicator plots fewer fractals with larger windows and more with smaller windows.
- Lag check: Observe a recent area where a turning point is forming. Note that the fractal marker may appear only after the right-side bars complete.
- Structure consistency: Compare whether higher-timeframe fractals (e.g., from a higher timeframe chart) align with the general swing structure you see visually. If they do not, the issue may be timeframe mismatch rather than “an error.”
- Scenario comparison: Look at multiple market conditions (quiet ranges vs. trending periods). Fractals often produce different point density depending on volatility and trend strength.
If you intend to automate anything, use the fractal’s definition—highs and lows versus surrounding bars—so that your logic matches the platform’s plotting rule.
Limitations and risks
- Confirmation delay: Fractals require surrounding bars to confirm local highs/lows, so they can lag real time movement.
- Dependence on window size: Results vary significantly with the number of bars used on each side; a setting that works visually in one context may be less clear in another.
- Context is not causation: A fractal point is a geometric description of local comparisons, not a forecast.
- Potential re-plotting: Because fractals depend on bars after the candidate swing, historical markers can appear different when charts are updated or when settings/timeframes change.
- Not a complete system: Using fractals alone does not define trade timing, risk controls, or expectancy; any such use needs additional, independently defined criteria.
Overall, the safest way to use Fractals is as a charting tool for identifying and comparing swing points, then verifying how those points relate to price structure on the particular pair, timeframe, and session you are analyzing.